Digital Marketing<\/a> or SEO. But why is it so? Well, we will be exploring this term in this blog post and will also let you know the 7 things you need to know about it.<\/p>\nWhat are LSI Keywords?<\/h2>\n
Earlier Google used to rely solely on keyword density to understand the core concept of a page. But now as Google has got smarter, it not only looks for the main keyword but also for LSI keywords as well. They are not synonyms of the main keyword, instead closely tied to it and frequently found together because they share the same context.<\/p>\n
Like, if your blog post\/content is on \u201chot chocolate\u201d. Then Google won\u2019t just look how many times and how have you used it in the title tag, image alt text etc. It will also look for related terms like \u201ctemperature\u201d, \u201chot\u201d, \u201cboil\u201d etc. These are nothing but LSI keywords, giving a higher degree of confidence to Google that the page is surely about \u201chot chocolate\u201d.<\/p>\n
But why did Google start using them instead of just the main keyword?<\/p>\n
Why Google uses LSI Keywords?<\/h2>\n
Earlier the core focus was on keyword occurrence due to which keyword stuffing and abusing was becoming an issue. Due to this, Google distanced itself a bit from keyword density, started focusing on LSI keywords too.<\/p>\n
Like, a legitimate page on \u201chot chocolate\u201d would have related words like \u201ctemperature\u201d, \u201cboil\u201d, \u201chot\u201d etc. while a keyword stuffed would have this term, i.e. ‘hot chocolate’ referred to repeatedly.<\/p>\n
Another major reason to shift the focus to from the main keyword was to give searchers the most appropriate pages and results to their query and extract the near-to-exact meaning of the web page. This gives Google a better understanding of the user\u2019s query and displays highly appropriate results.<\/p>\n
Relation between Hummingbird Algorithm and LSI Keywords<\/h2>\n
Besides the numerous algorithms adopted by Google for ranking on SERPs, Hummingbird is one such algorithm introduced in August 2013.<\/p>\n
What it does is it understands and looks at each word which lies within the context of a search query. In this way, it relates user\u2019s query\u2019s intent with the search results, that is, the meaning, providing only necessary and appropriate to-the-point results.<\/p>\n
But how does this help in the improved ranking?<\/p>\n
How are LSI Keywords beneficial in SEO and improved rankings?<\/h2>\n
They help in a better and higher ranking in the following three ways:<\/p>\n